On 29 August, the 4th International Workshop on Downscaling the Semantic Web (Downscale2016) was held as a full-day workshop in Amsterdam co-located with the ICT4S conference. The workshop attracted 12 participants and we received 4 invited paper contributions, which were presented and discussed in the morning session (slides can be found below). These papers describe a issues regarding sustainability of ICT4D approaches, specific downscaled solutions for two ICT4D use cases and a system for distributed publishing and consuming of Linked Data.. The afternoon session was reserved for demonstrations and discussions. An introduction into the Kasadaka platform was followed by an in-depth howto on developing voice-based information services using Linked Data. The papers and the descriptions of the demos are gathered in a proceedings (published online at figshare: doi:10.6084/m9.figshare.3827052.v1).
During the discussions the issue of sustainability was addressed. Different dimensions of sustainability were discussed (technical, economical, social and environmental). The participants agreed that a holistic approach is needed for successful and sustainable ICT4D and that most of these dimensions were indeed present in the four presentations and the design of the Kasadaka platform. There remains a question on how different architectural solutions for services (centralized, decentralized, cloud services) relate to eachother in terms of sustainability and when a choice for one of these is most suited. Discussion then moved towards different technical opportunities for green power supplies, including solar panels.
The main presentations and slides are listed below::
Downscale2016 introduction (Victor and Anna) (slides)
Jari Ferguson and Kim Bosman. The Kasadaka Weather Forecast Service (slides)
Aske Robenhagen and Bart Aulbers. The Mali Milk Service – a voice based platform for enabling farmer networking and connections with buyers. (slides)
Anna Bon, Jaap Gordijn et al. A Structured Model-Based Approach To Preview Sustainability in ICT4D (slides)
Mihai Gramada and Christophe Gueret Low profile data sharing with the Entity Registry System (ERS) (slides)
[This post is based on the Information Sciences MSc. thesis by Onno Valkering]
To make widespread knowledge sharing possible in rural areas in developing countries, the notion of the Web has to be downscaled based on the specific low-resource infrastructure in place. In this paper, we introduce SPARQL over SMS, a solution for exchanging RDF data in which HTTP is substituted by SMS to enable Web-like exchange of data over cellular networks.
The solution uses converters that take outgoing SPARQL queries sent over HTTP and convert them into SMS messages sent to phone numbers (see architecture image). On the receiver-side, the messages are converted back to standard SPARQL requests.
The converters use various data compression strategies to ensure optimal use of the SMS bandwidth. These include both zip-based compression and the removal of redundant data through the use of common background vocabularies. The thesis presents the design and implementation of the solution, along with evaluations of the different data compression methods.
The application is validated in two real-world ICT for Development (ICT4D) cases that both use the Kasadaka platform: 1) An extension of the DigiVet application allows sending information related to veterinary symptoms and diagnoses accross different distributed systems. 2) An extension of the RadioMarche applicationinvolves the retrieval and adding of current offerings in the market information system, including the phone number of the advertisers.
For more information:
Download Onno’s Thesis. A version of the thesis is currently under review.
As audiovisual archives are digitizing their collections and making these collections available online, the need arises to also establish connections between different collections and to allow for cross-collection search and browsing. Structured vocabularies can be used as connecting points by aligning thesauri from different institutions. The project “Gemeenschappelijke Thesaurus voor Uniforme Ontsluiting” was funded by the Taalunie -a cross-national organization focusing on the Dutch language- and executed by the Netherlands Institute for Sound and Vision and the Flemish VIAA archive. It involved a case study where partial collections of the two archives were connected by aligning their thesauri. This involved the conversion of the VRT thesaurus to the SKOS format and linking it to Sound and Vision’s GTAA thesaurus.The interactive alignment tool CultuurLINK, made by Dutch company Spinque was used to align the two thesauri (see the screenshot above).
The links between the collections can be explored using a cross-collection browser, also built by Spinque. This allows users to search and explore connections between the two collections. Unfortunately, the collections are not publicly available so the demonstrator is password-protected, but a publicly accessible screencast (below) shows the functionalities.
Update: a paper about this has been accepted for publication:
Victor de Boer, Matthias Priem, Michiel Hildebrand, Nico Verplancke, Arjen de Vries and Johan Oomen. Exploring Audiovisual Archives through Aligned Thesauri. To appear in Proceedings of 10th Metadata and Semantics Research Conference. [Draft PDF]
The CLARIN framework commissioned the production of dissemmination videos showcasing the outcomes of the individual CLARIN projects. One of these projects was the Dutch Ships and Sailors project, a collaboration between VU Computer Science, VU humanities and the Huygens Institute for National History. In this project, we developed a heterogeneous linked data cloud connecting many different maritime databases. This data cloud allows for new types of integrated browsing and new historical research questions. In the video, we (Victor de Boer together with historians Jur Leinenga and Rik Hoekstra) explain how the data cloud was formed and how it can be used by maritime historians.
Happy and suprised to find the first (and so far only) CultuurLink Linking Award in my mail box yesterday! I checked with the nice people over at Spinque.com and it turns out it was a token of appreciation for being a prolific Cultuurlink user 🙂
I think the vocabulary alignment tool is great and easy to work with, so I can recommend it to anyone with a SKOS vocabulary who wants to match it with any of the major cultural thesauri in the ‘Hub’. Thanks to the people at Spinque for the great tool and the nice gesture!
IATI is a multi-stakeholder initiative that seeks to improve the transparecy of development aid and to that end developed an open standard for the publication of aid information. Hundreds of NGOs and governments have registered to the IATI registry by publishing their aid activities in this XML standard. Taking the IATI model as an input, we have created a Linked Data model based on requirements elicitated from qualitative interviews using an iterative requirements engineering methodology. We have converted the IATI open data from a central registry to Linked Data and linked it to various other datasets such as World Bank indicators and DBPedia information. This dataset is made available for re-use at http://semanticweb.cs.vu.nl/iati .
To demonstrate the added value of this Linked Data approach, we have created several applications which combine the information from the IATI dataset and the datasets it was linked to. As a result, we have shown that creating Linked Data for the IATI dataset and linking it to other datasets give new valuable insights in aid transparency. Based on actual information needs of IATI users, we were able to show that linking IATI data adds significant value to the data and is able to fulfill the needs of IATI users.
During last week’s International Semantic Web Conference (ISWC2014) in Riva del Garda, the DIVE team presented a demonstration prototype of the DIVE tool (which you can play around with live at http://dive.beeldengeluid.nl) . We submitted DIVE to the Open Track of the yearly Semantic Web Challenge for SW tools and applications. Initially, we were invited to give a poster presentation on the first day of the conference and after very positive reviews, we progressed to the challenge final.
For this final we were asked to present the tool and give a live demonstration in front of the ISWC2014 crowd. Apparently the jury appreciated the effort since DIVE was awarded the third prize. The prize included a nice certificate as well as $1000,- sponsored by Elsevier.
This was a real team effort, but I think much of the praise goes to our partners at Frontwise. They built a very cool, very responsive and intuitive User Experience on top of our SPARQL endpoint. Great work! Also thanks to the people at Beeld en Geluid and KB for their assistance with delivering data in a timely fashion and of course the people at VU for their enrichment of the data. Great teamwork everyone! Embedded below you find the poster and the presentation. The paper is found here.
Linking historical datasets and making them available for the Web has increasingly become a subject of research in the field of digital humanities. In the Netherlands, history is intimately related to the maritime activity because it has been essential in the development of economic, social and cultural aspects of Dutch society. As such an important sector, it has been well documented by shipping companies, governments, newspapers and other institutions.
In this master project we assume that, given the importance of maritime activity in every day life in the XIX and XX centuries, announcements on the departures and arrivals of ships or mentions of accidents or other events, can be found in newspapers.
We have taken a two-stage approach: first, an heuristic-based method for record linkage and then machine-learning algorithms for article classification to be used for filtering in combination with domain features. Evaluation of the linking method has shown that certain domain features were indicative of mentions of ships in newspapers. Moreover, the classifier methods scored near perfect precision in predicting ship related articles.
Enriching historical ship records with links to newspaper archives is significant for the digital history community since it connects two datasets that would have otherwise required extensive annotating work and man hours to align. Our work is part of the Dutch Ships and Sailors Linked Data Cloud project. Check out Andrea’s thesis[pdf].
[This post was written by Rianne Nieland. It describes her MSc. project supervised by myself]
People in developing countries cannot access information on the Web, because they have no Internet access and are often low literate. A solution could be to provide voice-based access to data on the Web by using the GSM network.
In my master project I have investigated how to make general-purpose data sets efficiently available using voice interfaces for GSM. To achieve this, I have developed two voice interfaces, one for Wikipedia and one for DBpedia. I have made two voice interfaces with two different kinds of input data sources, namely normal web data and Linked Data, to be able to compare them.
To develop the two voice interfaces, I first did requirements elicitation from literature and developed a user interface and conversion algorithms for Wikipedia and DBpedia concepts. With user tests the users evaluated the two voice interfaces, to be able to compare them on speed, error rate and usability.
5000+ links from people in the BiographyNet RDF data to people in the Rijksmuseum RDF data.
2 links from Dutch Ships and Sailors to Rijksmuseum collections
61 links from Dutch Ships and Sailors Ranks to CEDAR Hisco ‘occupation’ URIs were made
1320 links of CEDAR municipalities (by Amsterdamse Code) to gemeentegeschiedenis.nl municipalities
33 links of ICONCLASS (used by Rijksmuseum) to HISCO occupations
We hope to expand this datacloud in the near future and show the added value of such an interconnected digital history cloud for historical research and the general public. You can read more at Albert’s blog or on the blog of Ivo Zandhuis’ Hic Sunt Leones